The growing energy demand requires an expansion of sustainable activities and
development. Unfortunately, burning fossil fuels causes pollution and greenhouse gases …

In the rapidly evolving realm of machine learning, the integration of the Open Neural
Network Exchange (ONNX) has become increasingly significant, particularly in image …

This paper tackles the new utilization of acoustic tomography and synthetic data modeling to
improve autonomous navigation systems, especially in environments where traditional …

This paper proposes a complete bibliometric and text mining analysis of 4Pi microscopy
research, from its outset in 1992 to 2023. The study of data retrieved from Scopus through …

This study investigates the use of metaheuristic algorithms for adaptation to climate change
and decision making, presenting literature from 1997 to 2023. Our investigation of the matter …

This study delves into the burgeoning field of Siamese Networks (SNs) within biomedical
(BM) research, presenting a comprehensive analysis of 319 scholarly articles published …

This work provides a detailed survey of the progress in dictionary-learning methods in the
area of Automatic Target Recognition (ATR) systems, emphasizing the importance these …

This paper will conduct an exhaustive analysis of sliding mode and variable structure filters,
essential methodologies employed in signal processing that solve problems noisy and …

This paper illuminates the scientific footsteps of the Short-Wave Infrared (SWIR) detectors,
tracing the journey of the growth and development in this critical technology area from its …

This paper offers an investigation of Grey Wolf Optimizer (GWO) in robotic systems, using
bibliometric data and VOSviewer analysis from 2016 to 2023. These years represent a …